\begin{frame}[allowframebreaks]
  \frametitle{diff_evMon4 Wien}
  \begin{figure}
    \centering
    \includegraphics[page=1,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_allbpms_part_avg_monitors_det_weighted_diff_evMon4_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon4 ( nm) vs. Wien.}
    \label{fig:diff_evMon4_Wien_p0}
  \end{figure}
  
  \begin{figure}
    \centering
    \includegraphics[page=2,width=0.9\textwidth]{images/partAvgAllEvMonLagr_mini_eigen_reg_allbpms_part_avg_monitors_det_weighted_diff_evMon4_rcdb_flip_state_wise_IncludeBMOD_wienwise_main_det_corrections.pdf} 
      \caption{Main detector weighted average diff_evMon4 ( nm) vs. Wien pull.}
    \label{fig:diff_evMon4_Wien_pull}
  \end{figure}
  
  \begin{table} 
    \caption{diff_evMon4 vs. Wien, main-det weighted}
    \begin{tabular}{cccc}
    \cline{1-4}
    \multicolumn{1}{|c|}{Averaging} &  \multicolumn{1}{c|}{Value}  & \multicolumn{1}{c|}{Error}  & \multicolumn{1}{c|}{Weight into avg} \\ \hline
    \multicolumn{1}{|c|}{Wien 1}  &  \multicolumn{1}{c|}{-1.19614}  & \multicolumn{1}{c|}{0.4629}  & \multicolumn{1}{c|}{17.9556\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 2}  &  \multicolumn{1}{c|}{0.0522372}  & \multicolumn{1}{c|}{0.259321}  & \multicolumn{1}{c|}{45.1691\%} \\ \hline
    \multicolumn{1}{|c|}{Wien 3}  &  \multicolumn{1}{c|}{1.17782}  & \multicolumn{1}{c|}{0.66317}  & \multicolumn{1}{c|}{36.8752\%} \\ \hline
    \multicolumn{1}{|c|}{Main det weighted average} &  \multicolumn{1}{c|}{0.243144\pm 0.283604}  & \multicolumn{1}{c|}{Chi2/NDOF = 8.83447/2}  & \multicolumn{1}{c|}{Probability = 0.0120676} \\ \hline
  \end{tabular}
  \end{table}
\end{frame}
diff evMon4 maindet weighted average, 0.243144 +- 0.283604
diff evMon4 maindet weighted mean, self pull = -0.812015 +- 1.84552
diff evMon4 Wien, time, Value, Value Error
diff evMon4 Wien,1,-1.19614,0.4629
diff evMon4 Wien,2,0.0522372,0.259321
diff evMon4 Wien,3,1.17782,0.66317
diff evMon4 total average, -0.0975334 +- 0.214122
diff evMon4 pull plot stats = 0.042452 +- 1.79435
diff evMon4 Wien, time, Value, Avg Weight
diff evMon4 Wien,1,-1.19614,0.179556
diff evMon4 Wien,2,0.0522372,0.451691
diff evMon4 Wien,3,1.17782,0.368752
diff evMon4 maindet weighted average, 0.243144 +- 0.283604
diff evMon4 maindet weighted pull (not meaningful) = -0.200522 +- 1.70429
diff evMon4 Wien, time, Value, Equally weighted Weight
diff evMon4 Wien,1,-1.19614,0.333333
diff evMon4 Wien,2,0.0522372,0.333333
diff evMon4 Wien,3,1.17782,0.333333
diff evMon4 tg_equal_weighted = 0.011306 +- 0.283101
diff evMon4 th_pull_equal_weighted = -2.80333e-09 +- 1.97737